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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 49804 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Najafi, Mehdi
- Abstract:
- Intensity Modulated Radiation Therapy is one of the most commonly used procedures of delivering radiation to cancerous tissues, with the aim of reaching the prescripted dose in the target volume while minimizing damage to nearby healthy organs. Two decisions are of fundamental importance: to select the beam angles and calculate the beam intensities. Beam Angle selection (Beam Angle Optimization) is an important problem. Due to the large amounts of computational time, beam angles are often selected manually based on human experience and intuition. In this study, three optimization methods –Simulated Annealing, Branch & Prune and Local Neighborhood Search- that are selected among known methods presented in the literature, along with the heuristic algorithm, used to solve the Beam Angle Optimization. Then, a hybrid approach is proposed for automated beam angle selection and computing beam intensities that aims to quickly find good feasible solutions using SA, B&P and heuristic method. Then in the second phase use the solutions as a starting point for Local Neighborhood Search to find local optimal solution. These methods were tested on a clinical case, nasopharynx cancer to evaluate the effectiveness, solution quality and computational time. Experimental results demonstrated that the proposed hybrid approach is able to improve the known methods in solution time and quality and more consistent than non-hybrid methods
- Keywords:
- Fluence Map Optimization ; Treatment Planning ; Radiotherapy ; Intersity Modulated Radiation Therapy ; Beam Angle Optimization
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